Product Manager, AI/ML Infrastructure

About the job

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in product management, consulting, co-founder or related technical role.
• 3 years of experience building and shipping technical products.
• Experience developing or launching products/technologies within one or more of the following: Cloud, SaaS, enterprise, internal tools, or supply chain networks.
  

Preferred qualifications:

• Experience managing projects with one of the following workloads: ML (e.g., training and deploying large machine learning models) or HPC (e.g., deploying Hardware and Software needed to run large batch compute jobs).
• Experience within Cloud Infrastructure, particularly with compute, networking, and storage.
• Experience leading complex strategic and operational initiatives, working through technical, operational, legal/policy, and business issues.
• Understanding of the AI/ML software stack and ML frameworks such as PyTorch, TensorFlow, JAX, etc.
• Excellent communication and presentation skills.
  

About The Job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world’s information. We’re responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

In this role you will be responsible for AI/ML infrastructure platforms that could have transformative effects on the Generative AI and Large Language Model eco-systems, and on the Google Cloud business.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Understand workflows of internal and external experts for workloads, specifically large-scale AI/ML training, and inference.
• Understand where internal and external experts are running into limits, know how our products can meet their needs, and shape our product roadmap by building new offerings to drive growth to GCP.
• Work with directors and executives across Google to ensure effective product launches and experience.
• Drive product strategy and set product priorities, teaming closely with engineering and cross-functional teams to define and deliver on the next generation of cloud infrastructure services.
• Work with our Go-to-Market and field to figure out the right way to bring our innovative products to the world.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .